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System Engineer (Compute Node) – United Kingdom
About The Role
This partner-managed role is as a System Engineer (Compute Node) in the UK, focused on designing and operating the next-generation AI cloud infrastructure. You will work on large-scale virtualization, networking, storage, and cluster-scale scheduling, supporting tens of thousands of GPUs across multiple data centers.
The role combines low-level systems expertise with modern cloud-native technologies like Kubernetes and virtualization stacks. It’s an opportunity to build scalable AI infrastructure that impacts a global platform.
Key Responsibilities
- Contribute to the design, development, and operation of compute node services managing GPU-based workloads in a large-scale environment.
- Work on virtualization layers, including orchestration, scheduling, and integration with high-performance networking and storage systems.
- Develop and optimize systems using Kubernetes, including components for compute and workload orchestration.
- Support and enhance virtualization technologies like KubeVirt (OpenShift Virtualization) and QEMU/KVM.
- Deep dive into Linux internals for performance tuning, resource management, and system-level debugging.
- Collaborate on integrating GPUs, DPUs, and high-performance acceleration hardware.
- Build and maintain large-scale distributed systems across multiple regions and data centers.
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Requirements
Must-Haves:
- Strong experience with Kubernetes, extending beyond deployment—ideally including core contributions or platform development.
- Proficiency in Linux internals, including:
- Process management & system calls
- Filesystem manipulation
- Performance optimization & debugging
- Hands-on knowledge of server hardware (PCIe devices, NICs, kernel drivers, bare-metal components).
- Experience with KVM/QEMU or KubeVirt for virtualization (strongly desired).
- Practical experience with GPUs, DPUs, or ARM architectures (or keen interest in learning).
- Programming skills in Go or C++ (with willingness to learn the other).
Practical Skills (Nice-to-Haves):
- Familiarity with NVIDIA DOCA, DPDK, or similar low-latency technologies.
- Strong concurrency debugging, profiling, and distributed system performance analysis.
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Benefits
- Competitive senior systems engineering compensation.
- Opportunities for career growth and continuous learning, supported by a technically driven culture.
- High autonomy and ownership of projects with clear technical impact.
- Global, collaborative environment with world-class experts.
- Work on cutting-edge AI and GPU infrastructure, shaping tomorrow’s cloud architecture.
How Jobgether Works
Our AI-powered matching process evaluates submissions objectively against the role’s key requirements. The top candidates are routed directly to the hiring team for interviewing and next steps. No traditional form-filling—just streamlined, fair assessments.
Digital Rights Notice: By applying, you consent to Jobgether processing personal data—GDPR-compliant, for candidate evaluation & employer sharing only. Your rights under data protection laws apply; contact us to inquire further.
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